MIND Solution Overview
Cloud, SaaS and GenAI platforms have become the epicenter of unstructured data growth, now accelerating at a 45% CAGR. Sensitive data spreads rapidly, often mislabeled, over-permissioned or exposed through AI tools. As this data exposure surface expands across these platforms, data loss prevention (DLP) is more important than ever.
And it’s never been more stressful.
Legacy tools can’t keep up. According to ESG, 94% of organizations use multiple point tools to manage DLP, resulting in disconnected operations and fragmented visibility. The result? Gaps, noise and escalating risk. Protecting unstructured data across cloud, SaaS, on-prem and GenAI is now the foundation of modern security strategies to enable the safe use of AI.
How do you make DLP stress-free?
The path to Stress-Free DLP means getting three core capabilities right and keeping them working together, continuously.
MIND’s vision is Stress-Free DLP that innovates with simplicity, AI and automation in MIND. It is built around the three pillars listed below:
Complete, contextual coverage
MIND is powered by a modular, high-performance architecture designed to operate across the full spectrum of modern enterprise environments.
MIND delivers Stress-Free DLP
MIND is the first platform to unify the entire data protection lifecycle for unstructured data, which is now the driving force of security risk in cloud, SaaS and GenAI environments. It goes beyond file metadata and origin tracking to inspect content, extract context and identify sensitive data elements wherever they live or move.
Unlike legacy DLP, MIND brings together discovery, detection and prevention into a single, autonomous platform. This combination allows for the level of granular control of sensitive data needed by security teams as they work to secure the rapidly expanding data exposure surface in the AI era.
Together, we’re on our way to Stress-Free DLP.
